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Comparison of Naive Bayes Classifier and K-Nearest Neighbor Algorithms with Information Gain and Adaptive Boosting for Sentiment Analysis of Spotify App Reviews Meidika Bagus Saputro; Alamsyah Alamsyah
Recursive Journal of Informatics Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jkrk0n56

Abstract

Abstract. At this time, the development of technology are increase rapidly. One of the issue that appear with advance technology is data volume in the world has increase too. With the large data volumes that exist in the world it can be used to some purpose in many field. Entertainment is one of the field that have many interest from user in this world. Spotify is the example of entertainment apps that provided by Google Play Store to give online music streams to their users. Because that apps is provided by Google Play Store, many reviews of the user about the apps it can be classified to know the positive, negative, or neutral. One way to classified the review of user is make sentiment analysis. In this paper, to classify the review we use naïve Bayes classifier and k-nearest neighbors that will be compared with adding Information gain as feature selection and adaptive boosting as boosting algorithm of each classification algorithm that we used. The result of classification using naïve Bayes classifier with adding Information gain and adaptive boosting is 87.28% and k-nearest neighbor with adding information gain and adaptive boosting can perform accuracy of 80.35%. Purpose: Knowing the result each of accuracy from the naïve Bayes classifier and k-nearest neighbor algorithm with adding information gain and adaptive boosting that we used and know how to doing the sentiment analysis step by step with the methods that chosen in this study. Methods/Study design/approach: This study applied data preprocessing, lexicon based labelling with TextBlob, Normalization, Word Vectorization using TF-IDF, and classification with naïve Bayes classifier and k-nearest neighbor, information gain as feature selection, and adaptive boosting as boosting algorithm to boost the accuracy of classification result. Result/Findings: The accuracy of naïve Bayes classifier with adding information gain and adaptive boosting is 87.28%. Meanwhile, by k-nearest neighbor with adding information gain and adaptive boosting reach the accuracy of 80.35%. This result obtained by using 60.000 dataset with data splitting 80% as data training and 20% as data testing. Novelty/Originality/Value: Implementing information gain as feature selection and adaptive boosting as boosting algorithm to naïve Bayes classifier is prove that it can be increase the accuracy of classification, but not same when implementing in k-nearest neighbor. So, for the future research can applied another classification algorithm or feature selection to get better result.
Dampak Implementasi Human Resource Information System (HRIS) terhadap Efisiensi Pengelolaan SDM di Era Digital Lase, Falestina; Halawa, Forman; Waruwu, Eliyunus
Jurnal Ekonomi (LIKUID) Vol. 1 No. 03 (2025): Desember
Publisher : Faatuatua Media Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70404/likuid.v1i03.456

Abstract

Perkembangan teknologi informasi mendorong organisasi untuk mengadopsi Human Resource Information System (HRIS) guna meningkatkan efisiensi dan akurasi pengelolaan sumber daya manusia di era digital. Implementasi HRIS tidak hanya mempermudah pengolahan data kepegawaian, tetapi juga menyediakan informasi yang lebih cepat dan berkualitas sebagai dasar pengambilan keputusan manajerial. Berbagai penelitian menunjukkan bahwa penggunaan HRIS berkontribusi pada peningkatan kinerja pegawai, efektivitas proses administrasi, serta integrasi fungsi-fungsi SDM secara lebih terstruktur. Namun demikian, pemanfaatan HRIS masih menghadapi sejumlah tantangan, antara lain kesiapan organisasi, kompetensi pengguna, dan dukungan infrastruktur teknologi. Penelitian ini bertujuan untuk menganalisis dampak implementasi HRIS terhadap efisiensi pengelolaan SDM dengan meninjau aspek kecepatan proses, ketepatan data, dan kualitas layanan administrasi kepegawaian. Pendekatan yang digunakan berupa kajian pustaka terhadap berbagai hasil penelitian terkini yang relevan dengan topik HRIS dan manajemen SDM di era digital. Temuan penelitian diharapkan dapat memberikan gambaran komprehensif mengenai peran strategis HRIS bagi organisasi, serta menjadi dasar pertimbangan dalam merancang kebijakan dan langkah implementasi sistem yang lebih optimal.
PENGARUH PARTISIPASI ANGGARAN JOB RELEVANT INFORMATION, KEJELASAN SASARAN ANGGARAN DAN BUDGET EMPHASIS TERHADAP Muhammad Rosidi, rosidi
Jurnal Publikasi Ekonomi dan Akuntansi Vol. 2 No. 1 (2022): Januari : Jurnal Publikasi Ekonomi dan Akuntansi
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jupea.v2i1.166

Abstract

This review plans to decide the impact of spending plan interest, work significant data, lucidity of spending plan objectives and financial plan accentuation to monetary leeway. The populace utilized in this review is the Regional Device Organization (OPD). In light of information acquired from the Official Site, there are 30 OPD that comprise of Dinas, Badan, Kecamatan workplaces and Inspectorates. The examining technique utilized in this review is the soaked example strategy. The quantity of examination tests is 60 respondents (30 OPD). Information utilized as essential information acquired straightforwardly from the field or information obtained from witnesses got through surveys with the respondents and direct perceptions at the review site. This review utilizes different direct relapse examination with the SPSS 25 program. The outcomes showed that monetary cooperation affected monetary leeway with a critical worth of 0,000, work applicable data affected monetary leeway with a huge worth of 0.000, spending plan objective clearness affected monetary leeway with a huge worth of 0.000, spending plan accentuation have no impact on monetary leeway with a huge worth of 0.000.
IMPROVING STUDENTS’ SPEAKING ABILITY BY USING INFORMATION GAP METHOD Harisa Dwi Oktira
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Publisher : Universitas Negeri Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/inspiration.v1i1.11887

Abstract

This research aimed to find out the improvement of students’ speaking ability by using the information gap method. The subjects of research were the students in grade X MIA-1, which consists of 36 students in the class. This research was conducted by using Classroom Action Research by Kemmis and McTaggart, which consisted of two cycles. The first was qualitative data that was obtained from observation, interviews, diary notes, and documentation that was analyzed using the Miles and Huberman technique. The quantitative data were obtained from a speaking test and were analyzed using the mean and percentage scores. The result of this research showed that the students’ speaking abilities improved after using the information gap method. The students have more participation and are active in conveying their ideas, opinions, and feelings during the process of speaking activity. Moreover, the students’ scores were higher than before after implementing the method. It can be shown from the result of the pre-test, post-test 1, and post-test 2, which are in the pre-test, that the students‘ mean score was 62, which only 6 students, or 16.6% of the 30 students who passed the minimum passing grade. In post-test I, the mean student's score was 72, in which there were 17 students, or 47%, who passed the minimum passing grade. At last, the mean score of students in post-test 2 was 76, meaning that 29 students, or 80%, passed the minimum passing grade. It indicated that the information gap method can improve students’ speaking ability.  Keywords: Speaking ability, information gap method, classroom action research.
Instagram as an Information Media for Feminism Education in the Frame of Husserls' Phenomenology Ida Ayu Shinta Indah Permata; Munadhil Abdul Muqsith; Fitria Ayuningtyas
Journal of Social Science Vol. 4 No. 5 (2023): Journal of Social Science
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jss.v4i5.703

Abstract

The phenomenon of using social media as a medium to meet the information and education needs of society is the result of the rapid development of the internet. Now people's needs are easily met, because various things are included in it. This can be analyzed based on the phenomenon of Instagram accounts as information on feminism education in the Instagram account @perempuanbercerita. The purpose of writing this research article is that the many cases against women make Instagram an information medium capable of providing feminist education to followers, using qualitative research methods with observation, note-taking and descriptive analysis techniques, with the phenomenological study approach of Edmund Husserls. The research subject is the flow of feminist educational information from the Instagram account @perempuanbercerita to followers of the Instagram account @perempuanbercerita. The use of social media Instagram as an educational medium, as well as empowering women, produces responses in the form of information, emotions and actions in accessing @perempuanbercerita posts as well as conscious experiences in cognitive and perceptual aspects in line with the development of the same meaning related to feminist values.
RETRACTED: The Impact of Work Enviroment, Information Technology, and Work Autonomy on Telework Adjusment of National Institute of Public Administration Employees During A Pandemic Disya Praditina; Herry Krisnandi; Kumba Digdowiseiso
Journal of Social Science Vol. 5 No. 1 (2024): Journal of Social Science
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jss.v5i1.772

Abstract

This research aims to determine the impact of Work Environment, Information Technology, and Work Autonomy on Telework Adjustment of National Institute of Public Administration Employees During a Pandemic. The population of this research used the Slovin sampling technique in which the population were 120 people. This research uses primary data with data collection method through questionnaires distributed to 120 respondents. The analysis technique uses multiple linear regression and uses the Static Product and Service Solution (SPSS) program with the 26.0 version. Based on the results of the partial research, it was discovered that Work Environment has been a positive and significant impact on Telework Adjustment. Information Technology has a positive and significant impact on Telework Adjustment. Work Autonomy has a positive and significant impact on Telework Adjustment.
Analysis of the Implementation of Singapore's Flight Information Region (FIR) Policy in Controlling Airspace Over Indonesia's Riau and Natuna Islands Palito Sitorus
Journal of Social Science Vol. 6 No. 2 (2025): Journal of Social Science
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The airspace over the Riau and Natuna islands is still controlled by the Singapore Flight Information Region (FIR), this has an impact on the Indonesian state. The takeover of Singapore's FIR by Indonesia was finally carried out through an agreement between the Government of Indonesia and Singapore signed on January 25, 2022. In order for this takeover to be implemented properly and smoothly and provide benefits for Indonesia both in terms of sovereignty, safety and economy, concrete steps are needed. This research aims to analyze how the implementation of the Singapore FIR takeover policy policy is implemented from a public policy perspective. This research uses a qualitative method with data collection techniques through in-depth interviews with each stakeholder directly involved. The data validation used used a triangulation technique, where the research location was carried out at the Ministry of Transportation, the Indonesian Air Force, and AirNav Indonesia. In this study, it was found that the implementation of the Singapore FIR takeover policy after the signing of the agreement experienced quite complex dynamics. Initially, the policy of taking over the FIR had not been conveyed holistically and clearly to all personnel involved in it, including procedures, technical instructions, and work plans were still not available, so this became an inhibiting factor in its implementation. In terms of resources, budgets, and equipment, these three stakeholders are still relying on their respective institutions. Bureaucratic inefficiencies that include aspects of organizational structure, division of authority, relationships between organizational units and so on make this implementation less effective in achieving the policy objectives that have been set. This research is the first research conducted on government science, especially in the field of Public Policy, so this research is a novelty. Some of the things that need to be suggested are the need to form an adhock organization equipped with a legal umbrella, as well as the existence of a budget allocation to support all activities that will be carried out, so that the implementation is carried out properly in accordance with its objectives.
Analisis Keamanan Website Global Academic Information System menggunakan OWASP ZAP dan Model AI Lokal Asep Rio Saputra; Bayu Irfan Aditya; Nova Teguh Sunggono; M. Bucci Ryando
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.759

Abstract

Academic websites serve as central platforms for managing higher education services, including academic records, financial data, and institutional communication. However, such systems are increasingly vulnerable to cyberattacks due to their internet exposure and insufficient protection against security flaws. This study proposes an integrated solution that combines automated scanning with OWASP ZAP and a local artificial intelligence model (Mistral) executed via the Ollama platform. The entire process is automated using Python scripting, covering stages such as spidering, active scanning, JSON result extraction, and AI-based mitigation recommendation generation. The research was conducted on the Global Academic Information System website. The scan results revealed a total of 193 vulnerabilities, including 4 high, 8 medium, 111 low, and 70 informational risks. Each vulnerability was analyzed using the local AI model to produce specific technical recommendations, such as adding security headers, implementing CSRF tokens, and configuring secure cookies. All outputs were automatically compiled into a structured Excel report suitable for developers. This approach proves effective in streamlining the security audit process, reducing manual workload, and preserving data privacy, as all operations are conducted locally without reliance on cloud services. The study demonstrates that integrating OWASP methods with local AI provides a practical, adaptive, and standalone solution for web application security testing.
The Effect of Information Asymmetry, Systematic Risk and Investment Opportunity (IOS) on Profit Quality in Food & Beverage Winingshe, Wiwiek
Journal of Applied Accounting and Sustainable Finance Vol. 1 No. 1 (2025): April (2025)
Publisher : Yayasan Az Zukhruf Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65440/aasf.v1i1.117

Abstract

Purpose – This study aims to obtain empirical evidence and analyze the factors that influence earnings quality. The independent variables used in this study are Information Asymmetry, Systematic Risk and Investment Opportunity Set (IOS). The dependent variable in this study is earnings quality. The population used in this study are Manufacturing Companies in the Food & Beverage Sub-Sector Registered on the Indonesia Stock Exchange (IDX) from 2013 to 2022.  Design/methodology/approach – The research method used is descriptive quantitative. The type of data used is secondary data in the form of published financial reports of manufacturing companies in the food & beverage sub-sector which are listed on the Indonesia Stock Exchange in 2013-2022. Samples were collected by purposive sampling method. The number of companies that were sampled in this study were 10 companies with a research period of 10 years. Data processing using SPSS version 20 for windows by collecting related data and then calculating information asymmetry, systematic risk, and Investment Opportunity Set (IOS) and earnings quality. T), and multiple linear regression test  Findings – The results of this study partially show that information asymmetry has no effect on earnings quality, systematic risk has a negative and significant effect on earnings quality, Investment Opportunity Set (IOS) has a positive and significant effect on earnings quality. Simultaneous test results show that information asymmetry, systematic risk, and Investment Opportunity Set (IOS) affect earnings quality.
Reconceptualizing Educational Information Management for Strategic Reform in Primary Education Endi Rochaendi; Ahmad Salim; Nur Kholik; Ahmad Syamsul Arifin; Dyahsih Alin Sholihah
Tarbawi: Jurnal Keilmuan Manajemen Pendidikan Vol 11 No 02 (2025): August 2025
Publisher : Program Studi Manajemen Pendidikan Islam Fakultas Tarbiyah dan Keguruan UIN Sultan Maulana Hasanuddin Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32678/tarbawi.v11i02.11371

Abstract

This study critically examines the strategic function of Educational Information Management (EIM) in transforming elementary education, situating it within the evolving paradigm of digital governance and equity-oriented educational reform. Employing a rigorous, systematic qualitative literature review methodology—reviewing peer-reviewed studies from 2015 to 2024 and relevant policy documents—the research synthesizes contemporary scholarly discourse, empirical evidence, and policy frameworks to elucidate how EIM catalyzes adaptive instructional design, inclusive decision-making processes, and data-informed leadership. The analysis reveals key findings: EIM has undergone a substantial conceptual shift from a static administrative system to a dynamic, integrative infrastructure that facilitates real-time data acquisition, personalized learning pathways, and participatory school governance. In particular, EIM demonstrably enhances institutional responsiveness, democratizes school–home communication, and strengthens collaborative engagement among educational stakeholders at the elementary school level. However, the findings also foreground persistent structural barriers, including disparities in digital infrastructure and insufficient educator digital competence, which continue to hinder the equitable implementation of EIM. The study concludes that realizing EIM’s transformative potential requires a holistic policy orientation integrating systemic digital capacity-building, ethically grounded design principles, and sustained public investment. Accordingly, EIM is rearticulated not merely as a technological apparatus but as a strategic and epistemological architecture that can directly inform policy and practice for building more inclusive, innovative, and coherent 21st-century elementary education systems.

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